An Iterative Approach to Solve the Viscous Damper Temperature and the Torsional Vibration Amplitude of a Diesel Engine
摘要
This study aims to address the coupled relationship between viscous damper temperature and torsional vibration amplitude in diesel engines, which critically impacts damper design due to silicone oil viscosity changes. The research proposes an iterative method to resolve this thermal-vibration coupling, ensuring accurate performance prediction while maintaining computational efficiency. Additionally, it introduces Vibsim, a specialized software for torsional vibration analysis and silicone oil damper design, overcoming limitations of existing commercial tools in structural optimization and heat-vibration coupling considerations.
MethodsAn iterative approach is developed to solve the coupled temperature-vibration problem: initial damper temperature is estimated, followed by recalibration of torsional responses using updated viscosity values until convergence. The method integrates mathematical models for damper damping, stiffness, and inertia, validated via finite element analysis. Experimental validation is conducted on a six-cylinder diesel engine, comparing calculated torsional amplitudes with measured data.
Results and ConclusionsExperimental validation shows an average error of 0.0058° (6.59%) in torsional amplitude predictions. Vibsim outperforms AVL software in harmonic amplitude accuracy (e.g., 6th harmonic error reduced to 11.30%). Key findings include: (1) The damper reduces 6th harmonic vibration to ~20% of original levels, cutting energy loss by 96% and noise by 28 dB; (2) Critical speeds shift post-damper installation (e.g., 6th harmonic critical speed rises to 2231 rpm); (3) Heat generation peaks at 1440 W (2200 rpm), with maximum temperature rise of 58 K. The study concludes that Vibsim enables precise damper sizing and thermal-vibration coupling analysis, offering industrial benefits in vibration/noise reduction and crankshaft longevity.